Towards Self-Adaptability of Instrumented Electromagnetic Energy Harvesters

Motion-driven electromagnetic energy harvesting is a well-suited technological solution to autonomously power broad range of autonomous devices. Although different harvester configurations and mechanisms have been already proposed perform effective tuning broadband harvesting, no methodology has proven be maximize the performance for unknown time-varying patterns mechanical sources externally exciting harvesters. This paper provides, first time, radically new concept harvested excitations: self-adaptive harvester. research work aims analyze electric gain when harvesters, using magnetic levitation architectures, are able adapt their architecture as variations in excitation occur. was accomplished by identifying optimal length load resistances. Gains related current exceeding 100 can achieved small-scale The also describes comprehensive case studies verify feasibility harvester, considering demand from adaptive mechanism, namely sensing, processing actuation systems. These successful results highlight potential this innovative design highly sophisticated both small- large-scale supply.